期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2020
卷号：16
期号：3
页码：587-598
DOI：10.18187/pjsor.v16i3.2624
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：A class of goodness of fit tests for Marshal-Olkin Extended Rayleigh distribution with estimated parameters is proposed. The tests are based on the empirical distribution function. For determination of asymptotic percentage points, Kolomogorov-Sminrov, Cramer-von-Mises, Anderson-Darling,Watson, and Liao-Shimokawa test statistic are used. This article uses Monte Carlo simulations to obtain asymptotic percentage points for Marshal-Olkin extended Rayleigh distribution. Moreover, power of the goodness of fit test statistics is investigated for this lifetime model against several alternatives.
关键词：Marshal-Olkin Extended Rayleigh distribution;Goodness of fit;Monte-Carlo simulation;Asymptotic percentage points;Power test
